Remove Forecasting Remove Sourcing Remove Warehousing
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Supply Chain AI: 25 Current Use Cases (and a Handful of Future Ones)

Logistics Viewpoints

In mathematical terms, optimization is a mixed-integer or linear programming approach to finding the best combination of warehouses, factories, transportation flows, and other supply chain resources under real-world constraints. Demand planning engines have natural feedback loops that allow the forecast engine to learn.

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Get Started Using Machine Learning for New Product Forecasting

ToolsGroup

Adding to this already uphill battle, we don’t have trustworthy new product forecasting methods because forecasting new products with no sales data is very hit-and-miss. Machine learning (ML) provides an effective weapon for your new product forecasting arsenal. Why is new product forecasting important?

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AI in Supply Chain Automation: Procurement to Logistics

Logistics Viewpoints

From sourcing and bid evaluation to warehouse slotting and dynamic routing, AI tools support faster and more consistent outcomes by processing large volumes of operational data and identifying patterns that human decision-makers may overlook. These capabilities are now being integrated into mainstream TMS, WMS, and ERP platforms.

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Amazon and the Shift to AI-Driven Supply Chain Planning

Logistics Viewpoints

They integrate AI into demand forecasting, inventory optimization, and logistics operations to improve efficiency, reduce costs, and mitigate risks. Organizations examine past sales trends, apply seasonal adjustments, and make forecasts based on historical models. Amazon is a leader in AI-driven supply chain management.

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The Forecasting Accuracy Bugaboo

Logistics Viewpoints

When it comes to running a company, when things break down executives have traditionally said “we need to improve our forecasting!” Would better forecasting accuracy be a good thing? Unfortunately, most companies cannot, and will never be able to, consistently rely on highly accurate forecasts. Absolutely!

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Achieving Significant Transportation Savings through Improved Demand Forecasting

Logistics Viewpoints

The implementation also involves leveraging weather data to improve forecasting. Gijs Majoor, vice president of supply chain and sustainable fuels, and Jacob Gladysz, the director of logistics explained the Pinnacle Propane business and their journey to improve their forecasting. Forecasting is harder there. This is also rare.

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From Warehouse to Delivery – How Digital Twins Drive Real-World Efficiency

Logistics Viewpoints

For logistics professionals, this translates to smarter warehouse layouts, more accurate transportation planning, proactive maintenance scheduling, and a new level of resilience through cost-to-serve optimization. This article explores how digital twins are being deployed in transportation, warehousing, and network design.